Kalpriksh Bist

Identified and presented clear, actionable trends and anomalies in gaming data, influencing strategic decisions by leveraging advanced data visualization techniques in Tableau. Conducted multiple AB tests on users, optimizing feature roll-out strategies by analyzing user engagement metrics, resulting in a 19% increase in high-roller user retention. Analyzed user behavior to provide insights that increased KYC compliance by 40%, enhancing platform security and user verification processes. Collusion detection by developing models using Python and Scikit-Learn, reducing fraudulent activity by 25% through effective classification of user patterns. Managed and responded to daily ad-hoc data requests, ensuring timely and accurate data provisioning to support critical operational decisions. Developed and maintained Feature Library : A set of features to measure the performance of new games being launched. Worked along Product Marketing team strategizing campaigns aiming to improve user next game retentions.

Camillo Properties: Developed a Regression Machine Learning model to accurately predict rental prices, achieving a 90% accuracy rate. Also streamlined Salesforce lead generation and facilitated robust data synchronization between PropertyWare and NetSuite using Node-Red. Brinks Security: Engineered comprehensive API integrations to enhance asset tracking capabilities significantly and optimized job scheduling processes to improve operational efficiency. Atlantic Energy: Focused on developing and maintaining critical integrations between Salesforce and Sage Intacct using Node-Red, ensuring a seamless flow of financial data. Action Pawn: Enhanced the efficiency of ActionPawn’s desktop e-commerce application by 25% using MVVM .NET Core, which also improved customer transaction processes.

Building projects in Keras and NumPy, in addition to TensorFlow PyTorch. Worked with cutting-edge technology such as neural, convolutional, recurrent neural, and generative adversarial networks, as well as sentiment analysis model deployment.